Explaining educational recommendations through a concept-level knowledge visualization
Author:
Affiliation:
1. University of Pittsburgh
Funder
CONICYT PFCHA/Doctorado Becas Chile/2018
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3308557.3308690
Reference5 articles.
1. A Fine-Grained Open Learner Model for an Introductory Programming Course
2. Roya Hosseini. 2018. Program Construction Examples in Computer Science Education: From Static to Adaptive Engaging Learning Technology. Ph.D. Dissertation. University of Pittsburgh. Roya Hosseini. 2018. Program Construction Examples in Computer Science Education: From Static to Adaptive Engaging Learning Technology. Ph.D. Dissertation. University of Pittsburgh.
3. Nikos Manouselis Hendrik Drachsler Katrien Verbert and Erik Duval. 2012. Recommender Systems for Learning. Springer New York NY USA. Nikos Manouselis Hendrik Drachsler Katrien Verbert and Erik Duval. 2012. Recommender Systems for Learning. Springer New York NY USA.
4. Nava Tintarev and Judith Masthoff. 2011. Designing and Evaluating Explanations for Recommender Systems. In Recommender Systems Handbook Francesco Ricci Lior Rokach Bracha Shapira and Paul B. Kantor (Eds.). Springer Boston MA USA 479--510. Nava Tintarev and Judith Masthoff. 2011. Designing and Evaluating Explanations for Recommender Systems. In Recommender Systems Handbook Francesco Ricci Lior Rokach Bracha Shapira and Paul B. Kantor (Eds.). Springer Boston MA USA 479--510.
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